메뉴 건너뛰기




Volumn , Issue , 2010, Pages

MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization

Author keywords

[No Author keywords available]

Indexed keywords

BENCH-MARK PROBLEMS; CONTINUOUS OPTIMIZATION PROBLEMS; EFFECTIVE ALGORITHMS; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL OPTIMIZATION; HIGH-DIMENSIONAL PROBLEMS; LARGE-SCALE OPTIMIZATION; LOCAL SEARCH; MEMETIC ALGORITHMS; OPTIMIZATION PROCESS; SCALABLE ALGORITHMS;

EID: 79959438816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2010.5586034     Document Type: Conference Paper
Times cited : (168)

References (24)
  • 5
    • 0034876073 scopus 로고    scopus 로고
    • A study of non-random matching and varying population size in genetic algorithm using a royal road function
    • C. Fernandes and A. Rosa. A study of non-random matching and varying population size in genetic algorithm using a royal road function. Proc. of the 2001 Congress on Evolutionary Computation, pages 60-66, 2001.
    • (2001) Proc. of the 2001 Congress on Evolutionary Computation , pp. 60-66
    • Fernandes, C.1    Rosa, A.2
  • 6
    • 70349270458 scopus 로고    scopus 로고
    • A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: A case study on the CEC'2005 special session on real parameter optimization
    • S. García, D. Molina, M. Lozano, and F. Herrera. A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: A case study on the CEC'2005 special session on real parameter optimization. Journal of Heuristics, 15:617-644, 2009.
    • (2009) Journal of Heuristics , vol.15 , pp. 617-644
    • García, S.1    Molina, D.2    Lozano, M.3    Herrera, F.4
  • 9
    • 27344452492 scopus 로고    scopus 로고
    • A tutorial for competent memetic algorithms: Model, taxonomy, and design issues
    • DOI 10.1109/TEVC.2005.850260
    • N. Krasnogor and J. Smith. A tutorial for competent memetic algorithms: model, taxonomy, and design issue. IEEE Transactions on Evolutionary Computation, 9(5):474-488, 2005. (Pubitemid 41522757)
    • (2005) IEEE Transactions on Evolutionary Computation , vol.9 , Issue.5 , pp. 474-488
    • Krasnogor, N.1    Smith, J.2
  • 10
    • 4544245255 scopus 로고    scopus 로고
    • Real-coded memetic algorithms with crossover hill-climbing
    • DOI 10.1162/1063656041774983
    • M. Lozano, F. Herrera, N. Krasnogor, and D. Molina. Real-coded memetic algorithms with crossover hill-climbing. Evolutionary Computation, 12(2):273-302, 2004. (Pubitemid 39212980)
    • (2004) Evolutionary Computation , vol.12 , Issue.3 , pp. 273-302
    • Lozano, M.1    Herrera, F.2    Krasnogor, N.3    Molina, D.4
  • 17
    • 0003140039 scopus 로고
    • Predictive models for the breeding genetic algorithm in continuous parameter optimization
    • H. Mülenbein and D. Schlierkamp-Voosen. Predictive models for the breeding genetic algorithm in continuous parameter optimization. Evolutionary Computation, 1:25-49, 1993.
    • (1993) Evolutionary Computation , vol.1 , pp. 25-49
    • Mülenbein, H.1    Schlierkamp-Voosen, D.2
  • 19
    • 40249090398 scopus 로고    scopus 로고
    • Accelerating differential evolution using an adaptive local search
    • DOI 10.1109/TEVC.2007.895272
    • N. Noman and H. Iba. Accelerating differential evolution using an adaptive local search. IEEE Transactions on evolutionary Computation, 12(1):107-125, 2008. (Pubitemid 351330335)
    • (2008) IEEE Transactions on Evolutionary Computation , vol.12 , Issue.1 , pp. 107-125
    • Noman, N.1    Iba, H.2
  • 22
    • 0003389370 scopus 로고
    • The GENITOR algorithm and selection pressure: Why rank-based allocation of reproductive trials is best
    • D. Whitley. The GENITOR algorithm and selection pressure: Why rank-based allocation of reproductive trials is best. Proc. of the Third Int. Conf. on Genetic Algorithms, pages 116-121, 1989.
    • (1989) Proc. of the Third Int. Conf. on Genetic Algorithms , pp. 116-121
    • Whitley, D.1
  • 23
    • 44949109048 scopus 로고    scopus 로고
    • Large scale evolutionary optimization using cooperative coevolution
    • Z. Yang, K. Tang, and X. Yao. Large scale evolutionary optimization using cooperative coevolution. Information Sciences, 178(15):2985-2999, 2008.
    • (2008) Information Sciences , vol.178 , Issue.15 , pp. 2985-2999
    • Yang, Z.1    Tang, K.2    Yao, X.3
  • 24
    • 55749099311 scopus 로고    scopus 로고
    • Multilevel cooperative coevolution for large scale optimization
    • Z. Yang, K. Tang, and X. Yao. Multilevel cooperative coevolution for large scale optimization. In IEEE Congress on Evolutionary Computation, pages 1663-1670, 2008.
    • (2008) IEEE Congress on Evolutionary Computation , pp. 1663-1670
    • Yang, Z.1    Tang, K.2    Yao, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.